The Evaluation of Economic Freedom Indexes of EU Countries with a GREY Hybrid MCDM Model
Çağatay Karaköy (),
Alptekin Ulutaş (),
Darjan Karabasevic (),
Salim Üre () and
Ali Oğuz Bayrakçil ()
Additional contact information
Çağatay Karaköy: Sivas Cumhuriyet University, International Trade and Logistics Department, Sivas
Alptekin Ulutaş: İnönü University, International Trade and Business Department, Malatya
Darjan Karabasevic: Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade 21107, Serbia
Salim Üre: Sivas Cumhuriyet University, International Trade and Logistics Department, Sivas
Ali Oğuz Bayrakçil: Sivas Cumhuriyet University, Business Administration Department, Sivas
Journal for Economic Forecasting, 2023, issue 1, 129-144
Abstract:
The Economic Freedom Index is a valuable comparison tool in terms of helping countries to consider in which areas they are better and determining priorities accordingly, as well as ensuring full economic freedom. There are many studies in the literature on this index. However, no study that deals with the criteria of the economic freedom index with grey MCDM methods has been found in the literature. In this study, the 5-year (2018-2022) economic freedom sub-criteria of 27 countries that are members of the European Union are handled with Grey PSI and WEDBA-G methods. This study has two contributions to the literature. First, a new grey MCDM method, called the WEDBA-G method, was developed. Second, a new grey hybrid model including grey PSI and grey WEDBA is presented.
Keywords: MCDM; grey PSI; WEDBA-G; Economic Freedom Index; grey theory (search for similar items in EconPapers)
JEL-codes: A10 C60 E60 F10 O10 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.ipe.ro/rjef/rjef1_2023/rjef1_2023p129-144.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2023:i:1:p:129-144
Access Statistics for this article
Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman
More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).